Abstract: A vehicle includes a plurality of sensors including exterior sensors. Vehicle signals, such as those derived from sensors, are processed to detect alertable conditions and each alertable condition is represented by a created software object. A location is associated with each software object, such as corresponding to a location of an exterior feature that gave rise to the alertable condition. The software object is updated over time according to the vehicle signals, such as by updating the location according to movement of the obstacle. The software objects are processed to drive an array of speakers effective to simulate a sound originating from the location associated with the software object. The sound generated by the speakers may be repeated chimes having a volume and period determined according to the location.

Abstract: A machine learning module may generate a probability distribution from training data including labeled modeling data correlated with reflection data. Modeling data may include data from a LIDAR system, camera, and/or a GPS for a target environment/object. Reflection data may be collected from the same environment/object by a radar and/or an ultrasonic system. The probability distribution may assign reflection coefficients for radar and/or ultrasonic systems conditioned on values for modeling data. A mapping module may create a reflection model to overlay a virtual environment assembled from a second set of modeling data by applying the second set to the probability distribution to assign reflection values to surfaces within the virtual environment. Additionally, a test bench may evaluate an algorithm, for processing reflection data to generate control signals to an autonomous vehicle, with simulated reflection data from a virtual sensor engaging reflection values assigned within the virtual environment.

Abstract: A vehicle includes a plurality of sensors including exterior sensors. Vehicle signals, such as those derived from sensors, are processed to detect alertable conditions and each alertable condition is represented by a created software object. A location is associated with each software object, such as corresponding to a location of an exterior feature that gave rise to the alertable condition. The software object is updated over time according to the vehicle signals, such as by updating the location according to movement of the obstacle. The software objects are processed to drive an array of speakers effective to simulate a sound originating from the location associated with the software object. The sound generated by the speakers may be repeated chimes having a volume and period determined according to the location.

Abstract: Techniques pertaining to user notification via interior lighting for improved human-machine interface in vehicles are described. A method may involve a notification system of a vehicle receiving one or more signals each indicating a respective level of a plurality of levels of required user involvement required in operation of the vehicle. The method may also involve the notification system providing a visual notification with at least one aspect of the visual notification corresponding to the respective level of required user involvement indicated by each signal of the one or more signals.

Abstract: Methods and systems for generating virtual sensor data for developing or testing computer vision detection algorithms are described. A system and a method may involve generating a virtual environment. The system and the method may also involve positioning a virtual sensor at a first location in the virtual environment. The system and the method may also involve recording data characterizing the virtual environment, the data corresponding to information generated by the virtual sensor sensing the virtual environment. The system and the method may further involves annotating the data with a depth map characterizing a spatial relationship between the virtual sensor and the virtual environment.

Abstract: A vehicle includes a steering wheel and a controller. The controller is configured to, in response to receiving location and speed data from other vehicles indicating an expected collision absent a trajectory change, automatically control the steering wheel to direct the vehicle along a collision avoidance path. The collision avoidance path is based on map data identifying a marking type for a traveling lane such that the path crosses the lane when the marking type is broken and does not cross the lane when the marking type is solid.

Abstract: Various embodiments of the present disclosure provide a vehicle notification system. The vehicle notification system includes at least one transparent display device, at least one mirror display device, and an eye tracker, and is configured to determine which display device the vehicle's driver is looking at and display notifications on that display device.

Abstract: A vehicle includes a steering wheel and a controller. The controller is configured to, in response to receiving location and speed data from other vehicles indicating an expected collision absent a trajectory change, automatically control the steering wheel to direct the vehicle along a collision avoidance path. The collision avoidance path is based on map data identifying a marking type for a traveling lane such that the path crosses the lane when the marking type is broken and does not cross the lane when the marking type is solid.

Abstract: A vehicle is described that includes a video camera configured to record video, a processor configured to process the recorded video from the video camera into hyperlapse video, and an input/output device to link the hyperlapse video with a social network associated with at least one of a driver of the vehicle and the vehicle. The processor may be configured to receive video data from the video camera and to create the hyperlapse video by reconstructing a video stream from the video data, planning a smooth path through the video stream, and rendering the video data along the smooth path into the hyperlapse video that has a faster speed and less jitter than the video stream. The hyperlapse video may be a non-native, sped-up video of the recorded video from the video camera.

Abstract: A crowdsourcing server receives sensor data from vehicles within a vicinity of a location of an event at a time of the event in response to the vehicles being notified of an occurrence of the event. The sensor data includes sensor data of the vehicles sensed at the time of the event. The crowdsourcing server associates the sensor data with the event. The event can be reconstructed using the sensor data associated with the event.